Edit agent feature 1 #998
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Edit agent feature 1 #998
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superagi/models/agent_config.py
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| # Fetch agent configurations | ||
| agent_configs = session.query(AgentConfiguration).filter(AgentConfiguration.agent_id == agent_id).all() | ||
| for agent_config in agent_configs: | ||
| key = agent_config.key |
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remove key var u can directly us eit.
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removed key variable
| @@ -100,3 +106,46 @@ def eval_agent_config(cls, key, value): | |||
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| if key == "goal" or key == "instruction": | |||
| return eval(value) | |||
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| @classmethod | |||
| def fetch_details_api(cls, session, agent, results_agent, results_agent_execution, total_calls, total_tokens): | |||
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build_agent_execution_config
Codecov ReportPatch coverage:
Additional details and impacted files@@ Coverage Diff @@
## dev #998 +/- ##
==========================================
+ Coverage 59.41% 59.46% +0.04%
==========================================
Files 197 198 +1
Lines 8723 8844 +121
Branches 908 927 +19
==========================================
+ Hits 5183 5259 +76
- Misses 3316 3343 +27
- Partials 224 242 +18
☔ View full report in Codecov by Sentry. |
TransformerOptimus
approved these changes
Aug 7, 2023
TransformerOptimus
merged commit 6c9afdd
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TransformerOptimus:dev
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Description
Changes in 7 files:
controllers/agent.py -> removed the fetch details api and i have moved it to the controllers/agent_execution_config.py file
and in the create_agent_with_config function i have added new agent_execution_configs
models/agent_config.py -> added a update_agent_configurations_table function which updates the "agent_configurations" table
whenever we run edit agent
controllers/agent_execution_config.py -> added a new api call(get_agent_execution_configuration) , which is used by frontend to fetch the details of the execution/ run
controllers/ agent_execution.py -> added a new api call(create_agent_run), which is used to create a new execution/ run
controllers/ type/ agent_execution_config.py -> created this new file which contains the AgentRunIn class, this class is used to update the "agent_configurations" table and to create a new execution
models/agent.py -> using this code for extracting value:
list(ast.literal_eval(value))
because the array containing the tools_id is received in the form of a string
Related Issues
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